Is Aras Scalable?
Aras provides a new level of PLM platform scalability for enterprises with global supply chains and a significant number of PLM users.
Aras's architectural design enables scale-out on the file system and Web servers with scale-up on the database by moving non-transactional data to the scale-out servers. This allows for the handling of very large levels of throughput by using frequent, short database transactions.
The underlying model-based service oriented architecture (model-based SOA) utilizes a dynamic schema with loosely coupled federated web services designed for scalability, flexibility, and extensibility.
To ensure optimum scalability Aras employs a scale-out and scale-up approach, where;
- Application services are hosted on scale-out Web servers
- File containers (CAD models & drawings, documents, and other files) are stored in scale-out Vault servers with replication
- The Aras database is used to host metadata which is ideal for storage in a relational database server and leads to excellent scale-up capabilities
This approach provides a new level of PLM platform scalability for enterprises with global supply chains and a significant number of PLM users.
In recent testing with one million named and 250,000 concurrent users, Aras Innovator running on standard HP server configurations showed strong performance and excellent resource utilization.
Average CPU utilization was consistently below 25 percent and total percentage of CPU utilization never exceeded 30 percent. The average response times were fast across all different user loads tested.
SQL Server 2014 Enterprise
Aras uses Microsoft SQL Server 2014 Enterprise for persistent metadata storage. SQL Server 2014 Enterprise is designed to deliver comprehensive, high-end data center capabilities for mission-critical applications.